Urban Analytics
Courses
The following courses are offered by the Department of Urban and Regional Planning. Note that course offerings and syllabi are subject to change.
Total: 36 credits
REQUIRED CORE COURSES
URP 6223 – Introduction to Urban Analytics OR URP 6931 – Artificial Intelligence in the Built Environment [3 credits, required]
URP 6224 – Intermediate Urban Analytics [3 credits, required]
URP 6007 – Survey in Urban and Regional Planning [3 credits (required for students without urban planning background)]
Thesis/Capstone [at least 3 credits are required].
GROUP 1. URBAN AND REGIONAL PLANNING THEORY COURSES [AT LEAST 3 CREDITS]
URP 6042 – Urban Economy
URP 6100 – Planning Theory and History
URP 6131 – Land Use and Planning Law
URP 6421 – Environmental Land-Use Planning and Management
URP 6445 – Planning for Climate Change
URP 6541 – Economic Development Planning
URP 6716 – Transportation Policy and Planning
URP 6711 – Transportation and Land Use Coordination
URP 6745 – Housing, Public Policy and Planning
GROUP 2. URBAN AND REIONAL PLANNING METHODS COURSES [ AT LEAST 6 CREDITS]
URP 6270 – Introduction to Planning Information Systems
URP 6271 – Automation for Geospatial Modeling and Analysis
URP 6272 – Urban Spatial Analysis
URP 6276 – Internet Geographic Information Systems
URP 6821 – Transportation and Land Use Modeling
GROUP 3. DATA AND COMPUTER SCIENCE COURSES [AT LEAST 9 CREDITS]
COP 3502 – Programming Fundamentals 1
EEL 3850 – Data Science for ECE
STA 4210 – Regression Analysis
CAP 4770 – Introduction to Data Science.
EEL 4930 – Applied Machine Learning Systems
EEE 4773 (or EEL 5840) – Fundamentals of ML
COT 5615 – Mathematics for Intelligent Systems (prerequisite of CAP 6610)
CAP 6610 – Machine Learning
CAP 6615 – Neural Networks
EEL 6935 – Big Data Ecosystems
EEL 5840 – Elements of Machine Intelligence
EEL 6814 – Neural Networks and Deep Learning
EEL 6953 – Machine Learning for Natural Language Processing
EEE 6512 – Image Processing and Computer Vision
EEL 6825 – Pattern Recognition and Intelligent Systems
EEL 6841 – Machine Intelligence and Synthesis
GEO 6166 – Advanced Quantitative Methods for Spatial Analysis
Important Notes:
- Master students can take up to two 3000/4000 courses from other departments (not URP) for graduate credits.
- Students can balance their credits between Group 1 and Group 3 depending on their backgrounds.
- Students can choose to complete the 36 credits within 12, 18, or 24 months.
- Further flexibility in curriculum is allowed with the advisor’s approval.
Total: 15 credits
- Option A is for students who have background in Urban and Regional Planning and related programs;
- Option B is for students with background in computer and information science or electronic and computer engineering or related fields.
Option A Requirements:
Urban and Regional Planning Methods [6 credits are required from the following courses]
URP 6270 – Introduction to Planning Information Systems
URP 6271 – Automation for Geospatial Modeling and Analysis
URP 6272 – Urban Spatial Analysis
URP 6276 – Internet Geographic Information Systems
URP 6821 – Transportation and Land Use Modeling
GEO 6166 – Advanced Quantitative Methods for Spatial Analysis
Data Science Cluster [3 credits are required]
CAP 5771 – Introduction to Data Science
STA 6166 — Statistical Methods in Research I
EEL 6533 – Data Analytics and Decision Sciences
COP 5725 – Database Management Systems
COP 6726 – Database System Implementation
COP 6755 – Distributed Database Systems
COT 5405 – Analysis of Algorithms
COP 5536 – Advanced Data Structures
Artificial Intelligent Cluster [6 credits required]
COT 5615 – Mathematics for Intelligent Systems (prerequisite of CAP 6610)
CAP 6610 – Machine Learning
CAP 5635 – Artificial Intelligence Concepts
CAP 6615 – Neural Networks for Computing
EEL 6935 – Big Data Ecosystems
EEL 5840 – Elements of Machine Intelligence
EEL 6814 – Neural Networks and Deep Learning
EEL 6953 – Machine Learning for Natural Language Processing
EEE 6512 – Image Processing and Computer Vision
EEL 6825 – Pattern Recognition and Intelligent Systems
EEL 6841 – Machine Intelligence and Synthesis
EEL 6814 – Neural Networks and Deep
Option B Requirements:
Urban and Regional Planning Domain Knowledge [6 credits required from the following courses]
URP 6100 – Planning Theory and History
URP 6042 – Urban Economy
URP 6131 – Land Use and Planning Law
URP 6421 – Environmental Land-Use Planning and Management
URP 6445 – Planning for Climate Change
URP 6541 – Economic Development Planning
URP 6716 – Transportation Policy and Planning
URP 6711 – Transportation and Land Use Coordination
URP 6745 – Housing, Public Policy and Planning
Urban and Regional Planning Methods [9 credit required from the following courses]
URP 6270 – Introduction to Planning Information Systems
URP 6271 – Automation for Geospatial Modeling and Analysis
URP 6272 – Urban Spatial Analysis
URP 6276 – Internet Geographic Information Systems
URP 6821 – Transportation and Land Use Modeling
GEO 6166 – Advanced Quantitative Methods for Spatial Analysis
The allowed timeframe for completion of this certificate is 3 years of initial enrollment in the graduate certificate program.